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Record W2047949588 · doi:10.1080/14742837.2010.493658

‘We've Also Become Quite Good Friends’: Environmentalists, Social Networks and Social Comparison in British Columbia, Canada

2010· article· en· W2047949588 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial movement studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversity of British ColumbiaMemorial University of Newfoundland
Fundersnot available
KeywordsFriendshipInterpersonal tiesEnvironmental movementSocial movementGovernment (linguistics)Social network (sociolinguistics)Social engagementPoliticsSociologyPublic relationsPower (physics)Political sciencePolitical economySocial mediaSocial scienceLaw

Abstract

fetched live from OpenAlex

Social networks influence social movement recruitment and individuals' ongoing participation in social movement organizations. In this article, we use a qualitative approach to explore the meaning of social networks for environmental movement participants in British Columbia, Canada. Our analysis draws on interviews with 33 core members of the movement. Environmental group participation creates multiplex social networks, encompassing work, leisure and friendship. Social movement networks are conduits for information exchange among environmental groups and they amplify the political power of individual participants. Ties to government workers and forest company management are more intense – based on frequency of contact – than ties to forestry labour or First Nations groups. However, forestry workers and First Nations are viewed more positively than government or forest company management. This illustrates how the intensity of social network ties can be distinguished from the subjective meanings attached to them by network participants.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.278
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it